Nadia Cummins

12 total papers · 487 total citations
8 papers, 367 citations indexed

About

Nadia Cummins is a scholar working on Molecular Biology, Neurology and Epidemiology. According to data from OpenAlex, Nadia Cummins has authored 8 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Neurology and 3 papers in Epidemiology. Recurrent topics in Nadia Cummins's work include Mitochondrial Function and Pathology (6 papers), Autophagy in Disease and Therapy (3 papers) and Traumatic Brain Injury and Neurovascular Disturbances (2 papers). Nadia Cummins is often cited by papers focused on Mitochondrial Function and Pathology (6 papers), Autophagy in Disease and Therapy (3 papers) and Traumatic Brain Injury and Neurovascular Disturbances (2 papers). Nadia Cummins collaborates with scholars based in Australia, Switzerland and Slovenia. Nadia Cummins's co-authors include Jürgen Götz, Steven Zuryn, Jesus Bertran‐Gonzalez, Amandine Grimm, Melinda Fitzgerald, Sarah A. Dunlop, Alan R. Harvey, Carole A. Bartlett, Michael A. Archer and Sophie C. Payne and has published in prestigious journals such as SHILAP Revista de lepidopterología, The EMBO Journal and PLoS ONE.

In The Last Decade

Nadia Cummins

8 papers receiving 364 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nadia Cummins 189 162 145 91 53 8 367
Jung Hee Shim 152 0.8× 111 0.7× 171 1.2× 99 1.1× 77 1.5× 8 385
Laura R. Rodríguez 149 0.8× 114 0.7× 171 1.2× 114 1.3× 88 1.7× 11 380
Adrián Martín‐Segura 172 0.9× 115 0.7× 164 1.1× 46 0.5× 57 1.1× 8 405
Qinghao Fu 194 1.0× 182 1.1× 92 0.6× 91 1.0× 122 2.3× 8 401
Rosa Ferrando-Miguel 254 1.3× 83 0.5× 143 1.0× 100 1.1× 64 1.2× 12 419
Min Joo Kim 196 1.0× 108 0.7× 93 0.6× 115 1.3× 53 1.0× 9 358
Ana Belén Malpartida 209 1.1× 83 0.5× 104 0.7× 167 1.8× 86 1.6× 5 402
Amanda Jernigan 211 1.1× 102 0.6× 35 0.2× 94 1.0× 33 0.6× 10 366
Shaocai Hao 206 1.1× 147 0.9× 51 0.4× 26 0.3× 43 0.8× 7 412
Lisette Arnaud 236 1.2× 138 0.9× 74 0.5× 28 0.3× 40 0.8× 5 382

Countries citing papers authored by Nadia Cummins

Since Specialization
Citations

This map shows the geographic impact of Nadia Cummins's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nadia Cummins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadia Cummins more than expected).

Fields of papers citing papers by Nadia Cummins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nadia Cummins. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nadia Cummins. The network helps show where Nadia Cummins may publish in the future.

Co-authorship network of co-authors of Nadia Cummins

This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Cummins. A scholar is included among the top collaborators of Nadia Cummins based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nadia Cummins. Nadia Cummins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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